Risk, time, and psychological distance: Does construal level theory capture the impact of delay on risk preference?

Do people change their preferences when they are offered the same risky lotteries at different times (now vs. the future)? Construal level theory (CLT) suggests that people do because our mental representation of events is moderated by how near or distant such events are in time. According to CLT, in the domain of risk preferences, psychological distance causes payoffs and probabilities to be differentially weighted or attended between present and future timepoints: Temporal distance increases the influence of payoffs and decreases the influence of probabilities.

Tau processing and tau-mediated inflammation differ in human and astrocytes.

Alzheimer's disease (AD) and progressive supra-nuclear palsy (PSP) are both proteinopathies, characterized by the accumulation of tau aggregates. is the greatest genetic risk factor for developing AD, while is a significant risk factor for developing PSP. In the brain, astrocytes are the predominant producer of ApoE, but they are also important for inflammation and overall brain homeostasis.

Violations of transitive preference: A comparison of compensatory and noncompensatory accounts.

Violations of transitive preference can be accounted for by both the noncompensatory lexicographic semiorder heuristic and the compensatory additive difference model. However, the two have not been directly compared. Here, we fully develop a simplified additive difference (SAD) model, which includes a graphical analysis of precisely which parameter values are consistent with adherence to, or violation of, transitive preference, as specified by weak stochastic transitivity (WST) and triangle inequalities (TI).

Categorizing digital data collection and intervention tools in health and wellbeing living lab settings: A modified Delphi study.

Background: Health and Wellbeing Living Labs are a valuable research infrastructure for exploring innovative solutions to tackle complex healthcare challenges and promote overall wellbeing. A knowledge gap exists in categorizing and understanding the types of ICT tools and technical devices employed by Living Labs.

Aim: Define a comprehensive taxonomy that effectively categorizes and organizes the digital data collection and intervention tools employed in Health and Wellbeing Living Lab research studies.